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Spatial Data Mining = Theory and Application /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spatial Data Mining/ by Deren Li, Shuliang Wang, Deyi Li.
Reminder of title:	Theory and Application /
Author:	Li, Deren.
other author:	Wang, Shuliang.
Description:	XXVIII, 308 p. 103 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-662-48538-5
ISBN:	9783662485385

Spatial Data Mining = Theory and Application /
Li, Deren.

Spatial Data MiningTheory and Application /[electronic resource] :by Deren Li, Shuliang Wang, Deyi Li. - 1st ed. 2015. - XXVIII, 308 p. 103 illus., 81 illus. in color.online resource.

· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’. p>.

ISBN: 9783662485385

Standard No.: 10.1007/978-3-662-48538-5doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Spatial Data Mining = Theory and Application /
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